Оцінювання рівня управління людським капіталом із застосуванням нейронної мережі Хеммінга

Abstract

The article proposes a model for assessing the level of human capital management (HR). This model is based on the use of neural networks. There are existing shortcomings in assessing the level of LC. The methodological approach to the assessment of the level of LC management has been improved, which allows to accurately and reasonably determine its level by means of neural network technologies. The model is objective and at the same time takes into account the subjective assessments of experts, ie the results can easily change based on changes in expert assessments as changes in the company, goals, mission of the organization or its specific tasks at the moment. The model is also complex, because, using more than a dozen indicators, it generates a comprehensive assessment, the formation of which, along with economic indicators, takes into account the human factor, namely the data of motivation and satisfaction. The corresponding artificial neural network of Hemming was built with the help of the software complex: diagnostics was carried out, its weights were calculated, which allowed to quickly and accurately determine the level of human capital management of the enterprise. Existing methods of human capital management are imperfect, as they do not take into account a wide range of factors of this process, caused by the impact of both internal and external environment. This is due to their incompleteness, inaccuracy, lack of an automated approach to evaluation in human capital management and the inability to learn independently. Thus, the aim of the article is to assess the level of human capital management through mathematical and computer simulations. The conceptual approach proposed by the authors has a number of significant advantages over existing alternative methods: high estimation accuracy; taking into account a powerful set of different parameters of influence; high speed of decision making; ability to self-study. The main scientific result of the study is the development of conceptual foundations for the formalization of the process of assessing the level of human capital management by means of mathematical and computer modeling based on a systems approach and the Hemming neural network. The proposed approach has been successfully implemented to assess the level of human capital management at 9 domestic enterprises